| | --- |
| | license: cc0-1.0 |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: train |
| | path: data/train-* |
| | dataset_info: |
| | features: |
| | - name: image |
| | dtype: image |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | '0': Auto Rickshaws |
| | '1': Bikes |
| | '2': Cars |
| | '3': Motorcycles |
| | '4': Planes |
| | '5': Ships |
| | '6': Trains |
| | splits: |
| | - name: train |
| | num_bytes: 606407823 |
| | num_examples: 5590 |
| | download_size: 871660951 |
| | dataset_size: 606407823 |
| | --- |
| | |
| | ## Vehicles Dataset |
| |
|
| | A lightweight image classification dataset of **vehicle categories** hosted on the Hugging Face Hub. It contains: |
| |
|
| | * **~5,590 images** across various vehicle types |
| | * **7 class labels** (e.g., Cars, Bikes, Planes, Trains, Ships, Auto Rickshaws, Motorcycles) |
| | * Single training split for exploration and model benchmarking |
| | * Public domain license (**CC0-1.0**) |
| | * Easy to load with the Hugging Face Datasets library |
| |
|
| | ### Load in Python |
| |
|
| | ```python |
| | from datasets import load_dataset |
| | |
| | ds = load_dataset("AIOmarRehan/Vehicles") |
| | print(ds["train"].features) |
| | ``` |
| |
|
| | --- |
| |
|
| | This dataset is ideal for: |
| |
|
| | * Evaluating model generalization |
| | * Benchmarking PyTorch architectures |
| | * Practicing image preprocessing and augmentation |
